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ROC Curve

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Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast.

Clinical breast cancer Jun 7, 2020
INTRODUCTION: We previously developed a convolutional neural networks (CNN)-based algorithm to distinguish atypical ductal hyperplasia (ADH) from ductal carcinoma in situ (DCIS) using a mammographic dataset. The purpose of this study is to further va...
Biopsy Radiographic Image Interpretation, Computer-Assisted Carcinoma, Intraductal, Noninfiltrating Datasets as Topic Hyperplasia Mammary Glands, Human Breast Neoplasms Middle Aged ROC Curve Mammography Diagnosis, Differential Prospective Studies Female Aged Adult Humans Neural Networks, Computer
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Matrix factorization with neural network for predicting circRNA-RBP interactions.

BMC bioinformatics Jun 5, 2020
BACKGROUND: Circular RNA (circRNA) has been extensively identified in cells and tissues, and plays crucial roles in human diseases and biological processes. circRNA could act as dynamic scaffolding molecules that modulate protein-protein interactions...
Area Under Curve RNA, Circular Neoplasms Cell Line, Tumor ROC Curve RNA-Binding Proteins Humans Neural Networks, Computer Databases, Factual
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Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients.

PloS one Jun 5, 2020
Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient's well-being and for successful management of the condition. In thi...
ROC Curve Renal Insufficiency, Chronic Clinical Decision-Making Taiwan Datasets as Topic Models, Biological Disease Progression Humans Time-to-Treatment Comorbidity Machine Learning Severity of Illness Index Retrospective Studies Time Factors Renal Replacement Therapy
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Identification of feature risk pathways of smoking-induced lung cancer based on SVM.

PloS one Jun 4, 2020
OBJECTIVE: The present study aims to explore the role of smoking factors in the risk of lung cancer and screen the feature risk pathways of smoking-induced lung cancer.
Databases, Genetic Cluster Analysis Area Under Curve High-Throughput Nucleotide Sequencing Smoking DNA, Neoplasm Humans ROC Curve Gene Ontology Risk Factors Lung Neoplasms Protein Interaction Mapping Gene Expression Profiling Signal Transduction Support Vector Machine
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Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma.

BMC cancer Jun 1, 2020
BACKGROUND: Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinoma (NPC) is clinically challenging, and prediction models of RTLI are lacking. Hence, we aimed to develop radiomic models for early detection of RTLI.
Humans Machine Learning Algorithms ROC Curve Longitudinal Studies Magnetic Resonance Imaging Brain Injuries Predictive Value of Tests Retrospective Studies Female Adult Male Middle Aged Nasopharyngeal Carcinoma Aftercare Nasopharyngeal Neoplasms Models, Biological Temporal Lobe Image Interpretation, Computer-Assisted Radiation Injuries
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CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning.

BMC bioinformatics Jun 1, 2020
BACKGROUND: The latest works on CRISPR genome editing tools mainly employs deep learning techniques. However, deep learning models lack explainability and they are harder to reproduce. We were motivated to build an accurate genome editing tool using ...
Gene Editing RNA, Guide, CRISPR-Cas Systems Algorithms Reproducibility of Results Deep Learning Databases, Genetic ROC Curve Area Under Curve Humans CRISPR-Cas Systems Machine Learning HEK293 Cells Base Sequence
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Effect of congenital adrenal hyperplasia treated by glucocorticoids on plasma metabolome: a machine-learning-based analysis.

Scientific reports Jun 1, 2020
BACKGROUND: Congenital adrenal hyperplasia (CAH) due to 21-hydroxylase deficiency leads to impaired cortisol biosynthesis. Treatment includes glucocorticoid supplementation. We studied the specific metabolomics signatures in CAH patients using two di...
Female Young Adult Adult Male Glucocorticoids Humans Machine Learning Hydrocortisone Purines Adrenal Hyperplasia, Congenital Pyrimidines Indoleamine-Pyrrole 2,3,-Dioxygenase Case-Control Studies ROC Curve Metabolomics Metabolome Area Under Curve
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A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance.

European radiology May 30, 2020
OBJECTIVES: To develop a deep learning algorithm for automated detection and localization of intracranial aneurysms on time-of-flight MR angiography and evaluate its diagnostic performance.
Deep Learning ROC Curve Magnetic Resonance Angiography Algorithms Intracranial Aneurysm Retrospective Studies Female Humans Male Middle Aged
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Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography.

Occupational and environmental medicine May 29, 2020
OBJECTIVES: To investigate the potential of deep learning in assessing pneumoconiosis depicted on digital chest radiographs and to compare its performance with certified radiologists.
Aged Male Middle Aged Deep Learning China ROC Curve Occupational Exposure Pneumoconiosis Dust Humans Neural Networks, Computer Retrospective Studies Female Reproducibility of Results Radiologists Radiography, Thoracic Radiographic Image Enhancement
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A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy.

Breast cancer research : BCR May 28, 2020
BACKGROUND: For breast cancer patients undergoing neoadjuvant chemotherapy (NAC), pathologic complete response (pCR; no invasive or in situ) cannot be assessed non-invasively so all patients undergo surgery. The aim of our study was to develop and va...
Middle Aged ROC Curve Antineoplastic Combined Chemotherapy Protocols Machine Learning Neoadjuvant Therapy Prognosis Follow-Up Studies Magnetic Resonance Imaging Retrospective Studies Humans Carcinoma, Ductal, Breast Female Carcinoma, Lobular Breast Neoplasms
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